LibreAI / Audio / MOSS-TTS
// audio · OpenMOSS/MOSS-TTS

MOSS-TTS

MOSS-TTS ist ein Open-Source-Projekt aus der Kategorie Audio von OpenMOSS (OpenMOSS/MOSS-TTS auf GitHub). Es hat 4.184 Sterne auf GitHub und 378 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 6. September 2026 auf GitHub aktualisiert.

MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents

★ 4,2 Tsd. Sterne⑂ 378 ForksApache-2.0aktualisiert Sep 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

GitHub-Sterne
4.184
Forks
378
Lizenz
Apache-2.0
Zuletzt auf GitHub aktualisiert
6. September 2026
Kategorie
Audio
Eintragstyp
Vollständige Installationsanleitung
Offizielle Website
Official site
// so funktioniert es

So funktioniert es

  1. Pick the family member

    Choose by job: flagship or v1.5 for general TTS/cloning, TTSD for dialogue, VoiceGenerator for designed voices, Realtime for agents, SoundEffect for SFX.

  2. Clone and install

    Clone the repo and install with the torch-runtime extra (or the torch-free runtime path).

  3. Download weights

    Fetch the chosen model's weights from Hugging Face or ModelScope as linked in the README.

  4. Generate or serve

    Run the model's inference example, or serve it behind the OpenAI-compatible speech endpoint.

// funktionen

Warum es so beliebt ist

A full model family

Flagship, v1.5, local-transformer, dialogue (TTSD), voice-design, realtime, and sound-effect models in one project.

31-language v1.5

Multilingual synthesis with language tags, explicit [pause X.Ys] control, and Pinyin/phoneme/duration control.

Stable zero-shot cloning

Clone voices from reference audio, with long-form generation support.

Dialogue generation

MOSS-TTSD targets multi-speaker podcasts, dialogue, and dubbing.

OpenAI-compatible serving

Serve models via SGLang-Omni or vLLM-Omni at /v1/audio/speech for drop-in integration.

Flexible runtimes

PyTorch runtime, optional flash-attention, or a torch-free llama.cpp/ONNX path; fine-tuning tutorials included.

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// selbst ausführen

Führe es selbst aus

  1. Clone the repository

    Clone the project and enter its directory.

    git clone https://github.com/OpenMOSS/MOSS-TTS.git
    cd MOSS-TTS
  2. Install with the torch runtime

    Install the package with its PyTorch runtime extra (CUDA 12.8 wheels per the README).

    pip install --extra-index-url https://download.pytorch.org/whl/cu128 -e ".[torch-runtime]"
  3. Generate speech

    Download a family member's weights from Hugging Face and follow its README example to synthesize from text (and reference audio for cloning).

    # see the chosen model's section in the README for the exact inference command
// anwendungsfälle

Was du damit bauen kannst

MarkuprPlus records your screen, narrate the bug, hand AI structured notes. The Audio shelf also holds aidictation — open-source dictation with offline recognition, everywhere. Readers working through the Audio shelf also stop at OpenVoice, Instant voice cloning from MIT and MyShell — clone a voice from a short reference clip.

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// häufige fragen

Häufige Fragen

Who maintains MOSS-TTS?

OpenMOSS, the MOSI.AI lab, maintains the MOSS model family.

Is it free?

Yes — the project is Apache-2.0 licensed and weights are published on Hugging Face and ModelScope.

Does it need a paid API key?

No. Models run locally; the larger ones expect a capable GPU.

How does it compare to MOSS-TTS-Nano?

Nano is the tiny 0.1B CPU-friendly sibling. This repo is the full family — up to the 8B flagship — with dialogue, voice design, realtime, and sound-effect models for higher fidelity.

How do I get started?

Clone the repo, install with the `.[torch-runtime]` extra, pick a family member, download its weights, and run its README example.

// weiter entdecken

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// alternativen

Alternativen im Bereich Audio

Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls MOSS-TTS nicht das Richtige ist.

// mehr in audio

Mehr in Audio

Verwandte Projekte der Kategorie Audio im Katalog, die MOSS-TTS bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir MOSS-TTS

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.